Dr. Alan Hutson is Chair of the Biostatistics and Bioinformatics Department at Roswell Park Comprehensive Cancer Center. He received his B.A. (1988) and M.A. (1990) in Statistics from the State University of New York (SUNY) at Buffalo. He then worked for Otsuka America Pharmaceuticals for two years as a biostatistician. Dr. Hutson then received his M.A. (1993) and Ph.D. (1996) in Statistics from the University of Rochester. His Ph.D. advisor was Professor Govind Mudholkar, a world-renown researcher in Statistics and Biostatistics. Dr. Hutson was hired as a biostatistician at the University of Florida in 1996 as a Research Assistant Professor and worked his way to a tenured Associate Professor. He had several roles at the University of Florida including Interim Director of the Division of Biostatistics and Director of the General Clinical Research Informatics Core. Dr. Hutson moved to the University at Buffalo in 2002 as an Associate Professor and Chief of the Division of Biostatistics. He was the founding chair of the new Department of Biostatistics in 2003 and became a full professor in 2007. Dr. Hutson’s accomplishments as Chair included the implementation of several new undergraduate and graduate degree programs and a substantial growth in the size and quality of the department faculty and students. In 2005, Dr. Hutson also became Chair of Biostatistics (now Biostatistics and Bioinformatics) at Roswell Park Comprehensive Cancer Center, was appointed to Professor of Oncology and was also the Director of the CCSG Biostatistics Core. Dr. Hutson helped implement the new Bioinformatics Core at Roswell Park. Dr. Hutson is a Fellow of the American Statistical Association. He is Associate Editor of Communications in Statistics, Associate Editor of the Sri Lankan Journal of Applied Statistics and is a New York State NYSTAR Distinguished Professor. Dr. Hutson has membership on several data safety and monitoring boards and has served on several high level scientific review panels. He has over 200 peer-reviewed publications. In 2013, Dr. Hutson was inducted into the Delta Omega Public Health Honor Society, Gamma Lambda Chapter. Dr. Hutson’s methodological work focuses on nonparametric methods for biostatistical applications as it pertains to statistical functionals. He has several years of experience in the design and analysis of clinical trials. Some of Dr. Hutson’s other relevant experience includes his role as a MPI in the NRG cancer cooperative group. Dr. Hutson is the contact MPI of the Cancer Moonshot U24 Immuno-Oncology Translation Network (IOTN) Data Management and Resource-Sharing Center grant. He is also PI of an ovarian SPORE Biostatistics and Medical Informatics core and PI of the PDT P01 Biostatistics core. He has over 250 publications across statistics, biostatistics and medical research domains. He has expertise in computationally intensive statistical methods and clinical trials design and analysis. Dr. Hutson is Chair of the IOTN Steering Committee.
Dr. Kristopher Attwood is an Assistant Professor of Oncology in the Department of Biostatistics and Bioinformatics at Roswell Park, and Co-Director of the Biostatistics & Statistical Genomics Shared Resource. He received his B.S. (2005) in Applied Mathematics from the University of Rhode Island, and received his M.S. (2006) in Industrial Engineering and M.A. (2009) and Ph.D. (2012) in Biostatistics from the University at Buffalo. Dr. Attwood came to the Department of Biostatistics and Bioinformatics at Roswell Park 2011 as a Senior Biostatistician, and later became a faculty member in 2012 and the Associate Director of the Biostatistics & Statistical Gemomics Shared Resource in 2016. His primary research interests include development of statistical methodologies and study designs for diagnostic/prognostic biomarker development, nonparametric testing, and statistical education. His collaborative experiences range from preclinical and translational research studies, phase I-II clinical trials, to large-scale national database projects. He has served as the biostatistician on many clinical studies at Roswell Park, and has been a reviewer for several journals (clinical and methodological) and grant review panels. Additionally, he serves on numerous scientific committees at Roswell Park, including the Scientific Review Committee and Experimental Therapeutics program.
Dr. Qian Liu joined the Department of Biostatistics & Bioinformatics faculty at Roswell Park Comprehensive Cancer Center as an Assistant Professor of Oncology in October 2019. Prior to that, she was a post-doc affiliate supervised by Dr. Martin Morgan, in the Bioconductor Core Team.
Her research interests are in 1) the development of statistical methodology, and application to collaborative clinical and biomedical projects; 2) the development of computational tools in deciphering very large cancer genomic data, to facilitate the scalability and reproducibility of bioinformatics analysis.
Dr. Liu's interdisciplinary training in pharmaceutics, molecular biology, and data science has enabled her a solid understanding of the statistical principles behind current best practices in the clinical trials and high-throughput genomic data analysis. She is passionate about working with clinicians and biologists in translating their data into knowledge.
Dr. Han Yu received his medical degree from China Medical University in 2010 with a focus on oncology and PhD in Biostatistics from University at Buffalo in 2018. In addition to methodological research, he also acquired extensive experience in collaboration with clinicians, epidemiologists and biologists during his PhD study, which involves the application of novel statistical methods in a variety of research projects. With an interdisciplinary background, Dr Yu is familiar with the research techniques in biomedical sciences. He is also one of the top performers in an international data science competition on proteogenomics.
Dr. Wang received PhD in Biophysics from the Institute of Biophysics, Chinese Academy of Sciences in 2003. She worked in the Bioinformatics and Integrative Biology Program at the University of Massachusetts as postdoctoral fellow and instructor with Dr. Zhiping Weng for about five years. At UMASS, she participated in the ENCODE project and studied the small RNAs mechanism by collaborating with professors like Dr. Theurkauf and Dr. Zamore.
Li Yan, PhD, is Assistant Professor of the Department of Biostatistics and Bioinformatics of Roswell Park Comprehensive Cancer Center. His key research interests and expertise include statistical methods and software for omics data, biomarker discovery and statistical methods for combination of biomarkers, survival analysis in translational and clinical research, parallel and distributed computing methods for genomic cancer research and other big data, and experimental design for omics studies. His collaboration works cover wide range of subject areas including breast, prostate, pancreas and other cancers, blood and marrow transplant, Alzheimer¹s disease and other diseases. He has authored or co-authored over 70 peer-reviewed methodological and collaborative publications.
Dr. Qianqian Zhu joined the faculty at Roswell Park in April of 2012 in the Department of Biostatistics & Bioinformaics as an Assistant Professor and was subsequently appointed Director of Statistical Genetics and Genomics. Dr. Zhu’s supports both the Biostatistics & Statistical Genomics and the Bioinformatics Shared Resource. Examples of currently funded grants that Dr. Zhu supports include “Pharmacoepigenetics of Noncoding RNAs in Breast Cancer Chemotherapy” (CCR12225673), in which Dr. Zhu is a co-investigator with Song Yao, PhD (PS), and “Regulation of lactosaminyl gylcan biosynthesis in hematoietic cells” (5P01HL107146), in which Dr. Zhu is a co-investigator with Joseph Lau, PhD (CSBT).
Dr. Zhu has interdisciplinary training in biostatistics, bioinformatics, and human genetics, and has accumulated extensive collaborative experience with biologists and clinicians in genetic epidemiology studies utilizing genome-wide association (GWA) and next-generation sequencing (NGS). Dr. Zhu completed her postdoctoral training in statistical genetics at the Center for Human Genetic Variation at Duke University from 2010 to 2012. Prior to that, she received her PhD in Biochemistry (with specialty in Bioinformatics) and MA in Biostatistics from University at Buffalo.
Her primary research interest is in developing statistically sound and computationally efficient methods to pinpoint the causal genetics and genomics data. Her areas of research include: 1) computational methods development for causal genetic variant identification, 2) statistical and bioinformatics analysis of genome, epigenome, and transcriptome data, and 3) pharmacogenomics, genetic testing, and personalized medicine. She has conducted a number of cutting-edge studies in dissecting genetic contributors to complex human traits.
Adrienne Groman, MS
Phone: 716-845-1300 ext. 6274
Ms. Adrienne Groman joined the Department of Biostatistics and Bioinformatics at Roswell Park in 2009 and serves as Senior Biostatistician. Her primary responsibility is to collaborate with clinicians and scientists at Roswell Park, providing statistical support for clinical trials, observational studies and large-scale national database analyses. Other responsibilities include reporting results to ClinicalTrials.gov. Her analytics career includes work with leading medical institutions (University of Rochester Medical Center & Roswell Park), serving as a visiting assistant professor, as well as engaging in statistical research with respected business organizations such as Discover Financial and Nielsen. She has experience with a wide variety of statistical methods, including, but not limited to, survival analysis, generalized estimating equations, and multinomial logistic regression. She has co-authored over 150 peer-reviewed journal publications and abstracts. Ms. Groman holds an MS in Applied Statistics from Oregon State University.
Katy Wang, MA
Phone: 716-845-1300 ext. 6269
Ms. Katy Wang joined the Roswell Park Department of Biostatistics and Bioinformatics in 2013 and serves as Senior Biostatistician. Her primary responsibility is to collaborate with clinicians and scientists at Roswell Park, providing statistical support for retrospective clinical data analyses and protocol design. Ms. Wang has an MA in Biostatistics and a BS in Electrical Engineering. Before joining Roswell Park, she was a Biostatistician in the Department of Biostatistics at St. Jude’s Children’s Research Hospital and actively collaborated with researchers in various departments and programs focusing on pediatric cancer research. Benefiting from multidisciplinary education and intense working experience with cancer studies, she has co-authored over 15 manuscripts in her career.
Zhe Jing, MA MPH
Phone: 716-845-1300 ext. 2589
Mr. Zhe Jing joined the Department of Biostatistics and Bioinformatics at Roswell Park in 2018 and serves as Senior Biostatistician. His primary responsibility is statistical analysis and database. He has experience with a wide variety of statistical methods, including, but not limited to, linear model, survival model and mixed model. He has co-authored multiple peer-reviewed journal publications and abstracts. Mr. Jing holds an MA in Biostatistics from the University at Buffalo and an MPH from the University of Kentucky.
Kayla Catalfamo, MA
Phone: 716-845-1300 ext. 7217
Ms. Kayla Catalfamo joined the Department of Biostatistics and Bioinformatics at Roswell Park in 2019 and serves as a biostatistician. Her primary responsibility is to collaborate with researchers and investigators at Roswell Park, providing statistical support for clinical trials and large-scale national database analyses. She has experience with a variety of statistical analysis methods, especially focusing on survival analysis, nonparametric testing and multivariate regression using R studio. She has M.S. in Medical Statistics from the University of Rochester.
Ram Nambiar, MS
Phone: 716-845-1300 ext. 2216
Mr. Ram Nambiar joined the Department of Biostatistics and Bioinformatics at Roswell Park in 2021 and serves as a Programmer/Analyst. His primary responsibility is to conduct statistical and bioinformatics analyses, including, mixed model regression, survival analysis, machine learning, differential gene expression and pathway analysis. He has experience with a variety of statistical analysis methods, and advanced analytical experience in Python and R as well as database design and development. He has M.S. in Bioinformatics from the New Jersey Institute of Technology.
Research Assistants, MS/MA
The Biostatistics and Statistical Genomics Shared Resource currently has six Research Assistants (RAs). They are experienced data analysts with Master's degrees in Statistics or Biostatistics and are in the PhD program in Biostatistics at University at Buffalo. In the past six years, these current or past RAs have contributed to more than 41 published manuscripts or abstracts.